About this role

Architect and operate data and training pipelines across cloud and cluster environments.
Build and maintain distributed training and orchestration tooling.
Design and maintain the data and metadata stores that back our training and evaluation workflows

Bachelor’s or Master’s degree in Robotics, Computer Science or a related field with strong mathematical and engineering foundations.
A minimum of 2 years building ML-oriented infrastructure, platforms, or distributed systems in production.
Proficiency in C++, Python and PyTorch with experience in Linux environments.
Familiarity with basic concepts in Machine Learning (training loops, basic operators and architectures)

Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing

Machine Learning Engineer II

Key skills